Neural Network Ensemble for Medium Term Forecast of Wind Power Generation: A Survey

Computer Science

In recent years, environmental considerations have prompted the use of wind power as a renewable energy resource. Wind energy is considered one of the fastest growing renewables. However, the biggest challenge in integrating wind power into the electric grid is its intermittency. One approach to deal with wind intermittency is forecasting future values of wind power production. Improved wind forecasting is known as an efficient tool to overcome many problems. For example, when it comes to competitive electricity markets, accurate wind forecast is always alluring for a variety of reasons. Thus, several wind power or wind speed forecasting methods have been reported in the literature over the past few years in order to improve the forecast accuracy. Hence, this paper offers a review on wind power forecasting and focuses on more on the state-of-the-art artificial neural network techniques. The review explores existing gap in recent studies and suggest future research opportunities in the context of wind power forecasting

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